Interpretive Summary: Zoning of agricultural fields is an important task for utilization of precision farming technology. One method for the definition of zones with different levels of productivity is based on fuzzy indicator model. Fuzzy indicator model for identification of zones with different levels of productivity is based on two general types of fuzzy indicators: the individual fuzzy indicators (IFI) type and the combined fuzzy indicators (CFI) type. The theoretical considerations are illustrated with this example based on data collected from a precision agriculture study in central Texas, USA. Soil samples were collected at different points, taking into account the actual longitude and latitude for each of these points. Because the experimental data contained information about several parameters only {grain yield, total carbon (C), total nitrogen (N) and available phosphorus (P)}, we were forced to restrict our calculations. Using the author’s computer program, fuzzy indicators IFI/CFI were calculated for each zone separately. Utilizing results of calculations maps of zones with different levels of productivity are shown.

Technical Abstract:
Zoning of agricultural fields is an important task for utilization of precision farming technology. One method for the definition of zones with different levels of productivity is based on fuzzy indicator model. Fuzzy indicator model for identification of zones with different levels of productivity is based on two general types of fuzzy indicators: the individual fuzzy indicators (IFI) type and the combined fuzzy indicators (CFI) type. The theoretical considerations are illustrated with this example based on data collected from a precision agriculture study in central Texas, USA. Soil samples were collected at different points, taking into account the actual longitude and latitude for each of these points. Because the experimental data contained information about several parameters only {grain yield, total carbon (C), total nitrogen (N) and available phosphorus (P)}, we were forced to restrict our calculations. Using the author’s computer program, fuzzy indicators IFI/CFI were calculated for each zone separately. Utilizing results of calculations maps of zones with different levels of productivity are shown.